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Power AI agents with clean web data
Firecrawl is a web data API for AI teams and developers that searches, crawls, and scrapes websites into LLM-ready markdown or structured JSON. Its unified search, scrape, and interact workflows make it useful for RAG pipelines, agents, competitive research, and live data extraction.
Firecrawl is a web data extraction API and crawling platform for developers, AI engineers, and GTM teams that need structured website data for automation workflows, lead generation, research, and LLM applications. Firecrawl turns public web pages into clean markdown, JSON, or other machine-readable outputs through crawling, scraping, search, and batch extraction endpoints. Firecrawl supports single-page scraping, deep site crawls, sitemap discovery, JavaScript-rendered pages, proxy handling, rate controls, and schema-based extraction for structured data capture. Firecrawl also provides SDKs and API access so teams can connect website data into internal apps, agents, CRM systems, data pipelines, and custom integrations.
Teams use Firecrawl to collect competitor pricing pages, monitor content changes, enrich B2B prospecting lists, build retrieval pipelines for AI assistants, and automate research workflows that depend on current web data. Product, sales, and operations teams can feed extracted content into outbound outreach systems, analytics stacks, or internal knowledge bases with less manual copy work. For modern GTM and AI stacks, Firecrawl sits in the web data ingestion layer, complementing CRM, enrichment, warehouse, and workflow tools by converting live websites into usable structured data for downstream automation and decision systems.`
Firecrawl fits developers, AI engineers, and technical GTM teams at startups, SaaS companies, and mid-market businesses building data products or internal tools. It serves teams extracting live web data, powering agents, automating research workflows, and running high-volume API-driven automation with engineering ownership.
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